Mixed reality feature priorities for mass casualty incident triage simulation: a descriptive pre-post study

Abstract Mixed reality offers an innovative approach to training complex medical skills in mass casualty incident simulations. This pre-post test study aimed to describe mixed reality feature priorities for mass casualty incident simulation from the end-users’ perspective and to explore the extent to which priorities changed following implementation. A mixed reality training program was developed to improve medical first responders’ triage skills in mass casualty incidents. Five European emergency medical service end-user organizations were asked to prioritize mixed reality training features in five content areas: the live training system, equipment, debriefing dashboard, analytics and statistics, and the manikin. The baseline (T1) survey was completed in late-2022. Six field trials were carried out between June 2023 and January 2024. The follow-up (T2) survey and group discussions were completed in early-2024. Follow-up responses tended to be more polarizing, with fewer features rated as must have (T1, 54.1%; T2, 46.4%), and more features rated as should have (T1, 19.6%; T2, 23.9%), could have (T1, 17.6%; T2, 18.4%), and won’t have (T1, 6.4%; T2, 10.7%). Prior to implementation, end-user organizations prioritized mixed reality simulation features that promoted realism. Following implementation end-users were more pragmatic, assigning higher ratings to features that aligned with the required learning goals and objectives for mixed reality mass casualty incident triage training. Changes in end-users’ priorities demonstrate a need to evaluate mixed reality simulation feature priorities before, during, and after implementation to ensure relevant feature selection and technology development.

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Publication Details

Journal
Virtual Reality
Published
2026-03-04
DOI
https://doi.org/10.1007/s10055-026-01341-2
Primary Topic
Disaster Response and Management
Type
article
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article

Mixed reality feature priorities for mass casualty incident triage simulation: a descriptive pre-post study

Susanna Pusa, Lina Gyllencreutz, David Sjöberg, Jaison Puthenkalam et al.
Virtual Reality
Disaster Response and Management
article

Mixed reality feature priorities for mass casualty incident triage simulation: a descriptive pre-post study

Susanna Pusa, Lina Gyllencreutz, David Sjöberg, Jaison Puthenkalam, Helmut Schrom-Feiertag, Rebecca Baxter
article en

Abstract

Abstract Mixed reality offers an innovative approach to training complex medical skills in mass casualty incident simulations. This pre-post test study aimed to describe mixed reality feature priorities for mass casualty incident simulation from the end-users’ perspective and to explore the extent to which priorities changed following implementation. A mixed reality training program was developed to improve medical first responders’ triage skills in mass casualty incidents. Five European emergency medical service end-user organizations were asked to prioritize mixed reality training features in five content areas: the live training system, equipment, debriefing dashboard, analytics and statistics, and the manikin. The baseline (T1) survey was completed in late-2022. Six field trials were carried out between June 2023 and January 2024. The follow-up (T2) survey and group discussions were completed in early-2024. Follow-up responses tended to be more polarizing, with fewer features rated as must have (T1, 54.1%; T2, 46.4%), and more features rated as should have (T1, 19.6%; T2, 23.9%), could have (T1, 17.6%; T2, 18.4%), and won’t have (T1, 6.4%; T2, 10.7%). Prior to implementation, end-user organizations prioritized mixed reality simulation features that promoted realism. Following implementation end-users were more pragmatic, assigning higher ratings to features that aligned with the required learning goals and objectives for mixed reality mass casualty incident triage training. Changes in end-users’ priorities demonstrate a need to evaluate mixed reality simulation feature priorities before, during, and after implementation to ensure relevant feature selection and technology development.

Virtual RealityVol. 30(2)
AIT Austrian Institute of Technology GmbH (AT), Swedish Police Authority (SE), University Hospital of Umeå (SE), Umeå University (SE)
Openalex Percentile: Top 42%
Disaster Response and Management
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